Giu‐Cheng Hsu

2.1k total citations
43 papers, 980 citations indexed

About

Giu‐Cheng Hsu is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Giu‐Cheng Hsu has authored 43 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 11 papers in Pathology and Forensic Medicine and 10 papers in Molecular Biology. Recurrent topics in Giu‐Cheng Hsu's work include AI in cancer detection (10 papers), Breast Lesions and Carcinomas (10 papers) and Global Cancer Incidence and Screening (8 papers). Giu‐Cheng Hsu is often cited by papers focused on AI in cancer detection (10 papers), Breast Lesions and Carcinomas (10 papers) and Global Cancer Incidence and Screening (8 papers). Giu‐Cheng Hsu collaborates with scholars based in Taiwan, United States and United Kingdom. Giu‐Cheng Hsu's co-authors include Jyh‐Cherng Yu, Chen‐Yang Shen, Pei‐Ei Wu, Cheng‐Ping Yu, Huan-Ming Hsu, Shou‐Tung Chen, Yu‐Ching Chou, Shian-ling Ding, Hsian‐He Hsu and Mei-Hsuan Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Giu‐Cheng Hsu

41 papers receiving 957 citations

Peers

Giu‐Cheng Hsu

ONCOL

PFM

GENET

Yu Sun China

Ronald Chan Hong Kong

Alexander H. Boag Canada

Jin Roh South Korea

Diana Martins Portugal

Francesca Galuppini Italy

Hui Zeng China

Olorunsola F. Agbaje United Kingdom

Yuting He China

Yu Sun China

Giu‐Cheng Hsu

456 ×1.1

311 ×1.2

553 ×2.1

ONCOL

118 ×0.6

PFM

179 ×1.0

GENET

Citations per year, relative to Giu‐Cheng Hsu Giu‐Cheng Hsu (= 1×) peers Yu Sun

Countries citing papers authored by Giu‐Cheng Hsu

Since Specialization

Citations

This map shows the geographic impact of Giu‐Cheng Hsu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Giu‐Cheng Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giu‐Cheng Hsu more than expected).

Fields of papers citing papers by Giu‐Cheng Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giu‐Cheng Hsu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Giu‐Cheng Hsu. The network helps show where Giu‐Cheng Hsu may publish in the future.

Co-authorship network of co-authors of Giu‐Cheng Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Giu‐Cheng Hsu. A scholar is included among the top collaborators of Giu‐Cheng Hsu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giu‐Cheng Hsu. Giu‐Cheng Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yen, Amy Ming‐Fang, Yeun‐Chung Chang, Hsian-He Hsu, et al.. (2024). Breast cancer incidence in mobile screening vs. in-hospital screening programmes based on 6 313 607 mammograms in 2 387 756 women in Taiwan. Journal of Global Health. 14. 1 indexed citations

Chen, Chien‐Jen, Hsian‐He Hsu, Giu‐Cheng Hsu, et al.. (2023). Performance measures of 8,169,869 examinations in the National Breast Cancer Screening Program in Taiwan, 2004–2020. BMC Medicine. 21(1). 497–497. 5 indexed citations

Hsu, Hsian-He, Yu‐Ching Chou, Jyh‐Cherng Yu, et al.. (2015). The Values of Combined and Sub-Stratified Imaging Scores with Ultrasonography and Mammography in Breast Cancer Subtypes. PLoS ONE. 10(12). e0145390–e0145390.

Ko, Kai‐Hsiung, Hsian‐He Hsu, Jyh‐Cherng Yu, et al.. (2014). Non-mass-like breast lesions at ultrasonography: Feature analysis and BI-RADS assessment. European Journal of Radiology. 84(1). 77–85. 72 indexed citations

Pan, Huay‐Ben, Kam‐Fai Wong, Tsung‐Lung Yang, et al.. (2014). The outcome of a quality-controlled mammography screening program: Experience from a population-based study in Taiwan. Journal of the Chinese Medical Association. 77(10). 531–534. 17 indexed citations

Pan, Huay‐Ben, Giu‐Cheng Hsu, Tsung‐Lung Yang, et al.. (2013). Peer reviewing of screening mammography in Taiwan: its reliability and the improvement. Chinese Medical Journal. 126(1). 68–71. 2 indexed citations

Pan, Huay‐Ben, Giu‐Cheng Hsu, Huei‐Lung Liang, et al.. (2011). Assessing an Emerging Nationwide Population-based Mammography Screening Program in Taiwan. 36(1). 3–9. 2 indexed citations

Yu, Jyh‐Cherng, Chia‐Ni Hsiung, Huan-Ming Hsu, et al.. (2011). Genetic variation in the genome-wide predicted estrogen response element-related sequences is associated with breast cancer development. Breast Cancer Research. 13(1). R13–R13. 29 indexed citations

Ding, Shian-ling, Jyh‐Cherng Yu, Shou‐Tung Chen, et al.. (2010). Diverse Associations between ESR1 Polymorphism and Breast Cancer Development and Progression. Clinical Cancer Research. 16(13). 3473–3484. 28 indexed citations

10.

Wu, Mei-Hsuan, Chi-Hong Chu, Yu‐Ching Chou, et al.. (2010). Joint effect of peroxisome proliferator-activated receptor γ genetic polymorphisms and estrogen-related risk factors on breast cancer risk: results from a case–control study in Taiwan. Breast Cancer Research and Treatment. 127(3). 777–784. 18 indexed citations

11.

Sun, Chien‐An, Mei-Hsuan Wu, Chi-Hong Chu, et al.. (2010). Adipocytokine resistin and breast cancer risk. Breast Cancer Research and Treatment. 123(3). 869–876. 55 indexed citations

12.

Hsu, Hsian‐He, Jyh‐Cherng Yu, Herng‐Sheng Lee, et al.. (2010). Complex cystic lesions of the breast on ultrasonography: Feature analysis and BI-RADS assessment. European Journal of Radiology. 79(1). 73–79. 15 indexed citations

13.

Hsu, Kuo‐Feng, et al.. (2009). Asymptomatic pulmonary nodules in a patient with early-stage breast cancer: Cryptococcus infection. International Journal of Infectious Diseases. 14(1). e77–e80. 10 indexed citations

14.

Ding, Shian-ling, Jyh‐Cherng Yu, Shou‐Tung Chen, et al.. (2008). Genetic variants of BLM interact with RAD51 to increase breast cancer susceptibility. Carcinogenesis. 30(1). 43–49. 34 indexed citations

15.

Hsu, Giu‐Cheng, et al.. (2008). A Late Complication of Augmentation Mammoplasty by Polyacrylamide Hydrogel Injection: Ultrasound and Magnetic Resonance Imaging Findings of Huge Galactocele Formation in a Puerperal Woman with Pathological Correlation. The Breast Journal. 14(6). 584–587. 24 indexed citations

16.

Tian, Yu-Feng, Chi-Hong Chu, Mei-Hsuan Wu, et al.. (2007). Anthropometric measures, plasma adiponectin, and breast cancer risk. Endocrine Related Cancer. 14(3). 669–677. 83 indexed citations

17.

Yu, Jyh‐Cherng, Huan-Ming Hsu, Shou‐Tung Chen, et al.. (2006). Breast cancer risk associated with genotypic polymorphism of the genes involved in the estrogen-receptor-signaling pathway: a multigenic study on cancer susceptibility. Journal of Biomedical Science. 13(3). 419–432. 23 indexed citations

18.

Yang, Sheng-Chih, Hsian‐He Hsu, Giu‐Cheng Hsu, et al.. (2005). 3D localization of clustered microcalcifications using cranio-caudal and medio-lateral oblique views. Computerized Medical Imaging and Graphics. 29(7). 521–532. 7 indexed citations

19.

Wang, Su, Che-Wei Chang, Sheng-Chih Yang, et al.. (2005). 3D ROC Analysis for Medical Imaging Diagnosis. PubMed. 2005. 7545–7548. 10 indexed citations

20.

Lee, San-Kan, Pau‐Choo Chung, Chein‐I Chang, et al.. (2003). Classification of clustered microcalcifications using a Shape Cognitron neural network. Neural Networks. 16(1). 121–132. 26 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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